Minds, brains, and computers : the foundations of cognitive science : an anthology
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Bibliographic Information
Minds, brains, and computers : the foundations of cognitive science : an anthology
(Blackwell philosophy anthologies, 10)
Blackwell Publishers, c2000
- : hardcover
- : pbk
Available at / 50 libraries
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Hiroshima University Central Library, Interlibrary Loan
: hardcover141.5:Mi-39/HL2020002000431192
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University of Miyazaki Library/ Library Director:Ikari Tetsuo図
: hardcover007.13||C95||00433942
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Note
Includes bibliographical references and index
Description and Table of Contents
- Volume
-
: hardcover ISBN 9781557868763
Description
This book presents a vital resource -- a comprehensive interdisciplinary selection of seminal papers in the foundations of cognitive science, from leading figures in artificial intelligence, linguistics, philosophy, psychology, and neuroscience. The collection is organized around three broad conceptions of the mind: the mind as computer program, the mind as a neural network, and the mind as brain. Each category includes papers that articulate the conception in question, papers that illustrate it, papers that interpret or criticize it, and papers that provide necessary technical background. Finally, there is a section of classic papers on four broad questions which have shaped contemporary thinking in cognitive science: What is innate in the mind? Is the mind a seamless whole, or is it made up of independent modules that differ significantly from each other? Are our ordinary mental concepts, such as belief, desire, and intention, a good starting place for a scientific understanding of the mind, or are they artifacts of a pre-scientific conception that should be discarded?
How should biology generally, and the evolution of animals in particular, constrain our theories about mental phenomena? Taken together, these papers give a sense of the history of the field as well as its contents by presenting the argumnets, models, data, and experiments that most crucially influence theory and practice in cognitive science.
Table of Contents
Preface. Acknowledgments. Part I: The Mind as Computer: Introduction: 1. A History of Thinking: D. D. Cummins. 2. Minds and Machines: H. Putnam. 3. Semantic Engines: An Introduction to Mind Design: J. Haugeland. 4. The Language of Thought: J. A. Fodor5. Vision: D. Marr. 6. GPS, A Program that Simulates Human Thought: A. Newell and H. Simon. 7. A Procedural Model of Language Understanding: T. Winograd. 8. A General Learning Theory and its Application to Schema Abstraction: J. R. Anderson and P. J. Kline. 9. Minds, Brains, and Programs: J. R. Searle. 10. Computing, Machinery, and Intelligence: M. Turing. Part II: The Mind as Neural Network: Introduction: 11. The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brian: F. Rosenblatt. 12. Cognitive Activity in Artificial Neural Networks: P. M. Churchland. 13. Cooperative Computation of Stereo Disparity: D. Marr and T. Poggio. 14. On Learning the Past Tenses of English Verbs: D. E. Rumelhart and J. L. McClelland. 15. Parallel Networks that Learn to Pronounce English Text: T. J. Sejnowski and C. R. Rosenberg. 16. Connectionism and the Problem of Systematicity: Why Smolensky's Solution Won't Work: J. A. Fodor and B. P. McLaughlin. 17. Connectionism and the Language of Thought: P. Smolensky. 18. Rules and Connections in Human Language: S. Pinker and A. Prince. Part III: The Mind as Brain: Introduction: 19. The Organization of Behavior: D. O. Hebb. 20. In Search of the Engram: K. Lashley. 21. A Logical Calculus of the Ideas Immanent in Nervous Activity: W. S. McCulloch and W. H. Pitts. 22. Is Consciousness a Brain Process? : U. T. Place. 23. The Computational Brain: Appendix: P. S. Churchland and T. J. Sejnowski. 24. What the Frog's Eye Tells the Frog's Brain: J. Y. Lettvin, H. K. Maturana, W. S. McCulloch, and W. H. Pitts. 25. Positron Emission: Tomographic Studies of the Cortical Anatomy of Single-word Processing: S. E. Petersen, P. T. Fox, M. I. Posner, M. Minton, and M. E. Raichle. 26. Computational Neuroscience: T. J. Sejnowski, C. Koch, and P. S. Churchland. 27. Two Cortical Visual Systems: L. G. Ungerleider and M. Mishkin. Part IV: Special Topics: Introduction: 28. Recent Contributions to the Theory of Innate Ideas: N. Chomsky. 29. The 'Innateness Hypothesis' and the Explanatory Models in Linguistics: H. Putnam. 30. Linguistics and Philosophy: N. Chomsky. 31. Initial Knowledge: Six Suggestions: E. Spelke. 32. Precis of the Modularity of Mind: J. A. Fodor. 33. Eliminative Materialism and the Propositional Attitudes: P. M. Churchland. 34. The Social Function of Intellect: N. Humphrey. 35. Origins of Domain Specificity: The Evolution of Functional Organization: L. Cosmides and J. Tooby. Index.
- Volume
-
: pbk ISBN 9781557868770
Description
Minds, Brains, and Computers presents a vital resource -- the most comprehensive interdisciplinary selection of seminal papers in the foundations of cognitive science, from leading figures in artificial intelligence, linguistics, philosophy, psychology, and neuroscience.
Table of Contents
Preface viii
Part I The Mind as Computer 1
Introduction 3
1. A History of Thinking 8
D. Dellarosa Cummins
2. Minds and Machines20
H. Putnam
3. Semantic Engines: An Introduction to Mind Design 34
J. Haugeland
4. The Language of Thought: First Approximations 51
J. A. Fodor
5. Vision 69
D. Marr
6. GPS, A Program that Simulates Human Thought 84
A. Newell and H. Simon
7. A Procedural Model of Language Understanding 95
T. Winograd
8. A General Learning Theory and its Application to Schema Abstraction 114
J. R. Anderson and P. J. Kline, and C. M. Beasley, Jr
9. Minds, Brains, and Programs 140
J. R. Searle
10. Computing, Machinery, and Intelligence 153
M. Turing
Part II The Mind as Neural Network 169
Introduction 171
11. The Perceptron A Probabilistic Model for Information Storage and Organization in the Brian 179
F. Rosenblatt
12. Cognitive Activity in Artificial Neural Networks 198
P. M. Churchland
13. Cooperative Computation of Stereo Disparity 217
D. Marr and T. Poggio
14. On Learning the Past Tenses of English Verbs 225
D. E. Rumelhart and J. L. McClelland
15. Parallel Networks that Learn to Pronounce English Text 259
T. J. Sejnowski and C. R. Rosenberg
16. Connectionism and the Problem of Systematicity Why Smolensky's Solution Won't Work 273
J. A. Fodor and B. P. McLaughlin
17. Connectionism, Constituency, and the Language of Thought 286
P. Smolensky
18. Rules and Connections in Human Language 307
S. Pinker and A. Prince
Part III The Mind as Brain 319
Introduction 321
19. The Organization of Behavior 323
D. O. Hebb
20. In Search of the Engram 333
K. Lashley
21. A Logical Calculus of the Ideas Immanent in Nervous Activity 351
W. S. McCulloch and W. H. Pitts
22. Is Consciousness a Brain Process? 361
U. T. Place
23. The Computational Brain: Anatomical and Physiological Techniques 367
P. S. Churchland and T. J. Sejnowski
24. What the Frog's Eye Tells the Frog's Brain 382
J. Y. Lettvin, H. K. Maturana, W. S. McCulloch, and W. H. Pitts
25. Positron Emission Tomographic Studies of the Cortical Anatomy of Single-word Processing 397
S. E. Petersen, P. T. Fox, M. I. Posner, M. Minton, and M. E. Raichle
26. Computational Neuroscience 405
T. J. Sejnowski, C. Koch, and P. S. Churchland
27. Two Cortical Visual Systems 420
L. G. Ungerleider and M. Mishkin
Part IV Special Topics 445
Introduction 447
28. Recent Contributions to the Theory of Innate Ideas 452
N. Chomsky
29. The 'Innateness Hypothesis' and the Explanatory Models in Linguistics 458
H. Putnam
30. Linguistics and Philosophy 464
N. Chomsky
31. Initial Knowledge Six Suggestions 484
E. Spelke
32. Precis of the Modularity of Mind 493
J. A. Fodor
33. Eliminative Materialism and the Propositional Attitudes 500
P. M. Churchland
34. The Social Function of Intellect 513
N. Humphrey
35. Origins of Domain Specificity: The Evolution of Functional Organization 523
L. Cosmides and J. Tooby
Index 544
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